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What is SkyBiometry?

This innovative face detection technology can recognize multiple faces from various angles within a single image, effectively identifying individuals regardless of whether they are wearing glasses or showcasing a range of facial expressions. Known for its outstanding performance, this technology is one of the quickest algorithms available worldwide. It proficiently pinpoints essential facial features such as the eyes, nose, mouth, and additional landmarks for every detected face. Furthermore, it evaluates various characteristics, including gender and age, and can ascertain whether someone is smiling, has open eyes, maintains closed lips, or is wearing glasses, even differentiating between light and dark lenses. Designed as a cloud-based service, it allows for effortless integration with any application, whether web, mobile, desktop, or any Internet-connected platform. Getting started with SkyBiometry is simple and free; you can choose the API features that suit your needs and incorporate them into your application within minutes. By harnessing the rapid evolution of cloud technology, we aim to deliver enhanced products swiftly, enabling our clients to expand effortlessly. We are proud to provide this sophisticated technology in a manner tailored to meet your specific requirements, ensuring you receive the best possible service. Our goal is to continually innovate and improve, keeping pace with the latest advancements in the field.

What is FaiSentry?

FaiSentry boasts a cluster-based architecture that is crafted for outstanding scalability, resilience, and sustained viability, providing the option for deployment either on-premise or within a dedicated data center. Beyond merely improving upon conventional passwordless login techniques, FaiSentry enables the swift and effortless identification of numerous people from a single image, delivering outcomes in just a fraction of a second. Our sophisticated facial biometric engine achieves a harmonious blend of high-level security and ease of use, guaranteeing an exceptional experience for both enterprises and their customers. Unlike other face authentication solutions on the market, Aculab has harnessed AI-driven technology to create a system that mitigates biases associated with race and gender. Furthermore, a single camera can proficiently monitor vital entry and exit points, with FaiSentry’s capability to recognize multiple individuals simultaneously from each image captured, thus bolstering security and enhancing operational efficiency. This groundbreaking approach not only simplifies the identification process but also significantly amplifies the overall safety of any setting. Ultimately, FaiSentry stands at the forefront of biometric technology, reinforcing security measures while ensuring a user-centric experience.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

€50 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SkyBiometry

Date Founded

2012

Company Location

Lithuania

Company Website

skybiometry.com

Company Facts

Organization Name

Aculab

Date Founded

1978

Company Location

United Kingdom

Company Website

www.aculab.com/biometric-technologies/faisentry/

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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